Bibliographic record
Abstract
Balconies are a common architectural feature on mid- and high-rise buildings. The presence of balconies alters the interaction of the wind with the building façade, and thereby the resulting cladding and structural loads. Much of the aerodynamic data which comprise wind loading codes (i.e., ASCE 7, NBCC) are based on prismatic buildings with no external features. This case is generally considered to provide an upper bound, as the aerodynamics of the overall building geometry will be clean and well-correlated with height. With advances in modelling capabilities in previous years, the inclusion of balconies and other minor external features on wind tunnel test models has become more achievable and thus is of interest in determining the final wind loads and responses for the building, as well as determining reductions that may exist from code-specified values. A challenge that exists for wind engineers is that occasionally balconies may be added, removed, or modified as the design of the project progresses (or after the initial wind tunnel test has been performed). This paper discusses the impacts of balconies on the overall wind loads and responses for a unique building to illustrate some of the differences between external geometries with and without balconies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".